Bearing fault diagnosis method, device and system

The invention relates to a bearing fault diagnosis method, device and system, and the method comprises the steps: obtaining bearing vibration data; determining cepstrum data corresponding to the bearing vibration data; inputting the cepstrum data into an autoregression model to obtain an autoregression coefficient corresponding to the cepstrum data; and inputting the autoregression coefficient into a trained classification model to obtain a diagnosis result of the bearing.